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SignalFire connects Senior/Staff Data Scientists with VC-backed startups in AI, cybersecurity, healthtech, fintech, and devtools, focusing on experimentation, modeling, and data-driven product decisions.
Build and own credit-risk models for a B2B Buy Now Pay Later product, deciding which small businesses get funding and on what terms using supervised ML and statistical inference.
Builds and validates AI/ML models for U.S. Special Operations Command, focusing on predictive analytics and NLP to forecast resource needs and support mission planning.
Build and validate statistical models, AI/ML solutions, and governed analytics for VA’s EHR modernization using R, Python, SQL, Git, and cloud platforms.
Fleet Space runs geophysical field programs across the Americas that feed directly into ExoSphere, our satellite enabled mineral exploration platform. As our Geophysical Operations Lead, you will be the person on the…
Build and scale Enernet, the cloud platform that ingests telemetry from 400+ battery systems, runs Kafka-to-TimescaleDB pipelines, and serves low-latency GraphQL APIs for mobile and web clients.
Builds internal tools for investment, accounting, and reporting workflows using C#, Python, and React, with AI-assisted coding to automate processes and enhance data analysis.
Build and deploy generative AI systems using RAG, LLMs, and cloud-native MLOps on Azure, while mentoring teams to deliver scalable AI solutions across industries.
Build and deploy production-grade ML models for retail, pricing, and operations analytics using Python, SQL, and Azure ML.
Build and optimize AI/ML models for retail demand forecasting and supply-chain planning using Python/R, time-series methods, and optimization algorithms.
Build and improve demand-forecasting models using Python and SQL, collaborating with engineers and business teams to deploy multivariate algorithms and enhance supply-chain decisions.
Build Power BI dashboards and automated reports that turn time-series, geospatial, and asset data into actionable insights for water-utility clients using SQL, Python, Azure, and Esri GIS.
Lead the deployment of generative AI and agentic systems across Novartis, engineering secure, scalable AI products and intelligent workflows to transform enterprise processes and deliver measurable patient and business value.
Lead AI/ML initiatives at Cisco, defining technical vision and roadmap for AI capabilities in security and observability products while guiding cross-functional teams from architecture to production deployment.
Build and deploy ML models for demand forecasting, customer experience, and operations optimization in a B2B and digital commerce setting using Python, SQL, and MLOps.
Own and evolve cloud and on-premise infrastructure for a sustainability-focused startup, including time-series data platforms, Linux servers, and edge devices.
Build and deploy ML models for demand forecasting, customer experience, and operations optimization in a B2B and digital-commerce setting using Python, SQL, and MLOps pipelines.
Maintains and expands a Latin American economic database, ensuring data quality and assisting clients with queries while collaborating with data sources.
Lead the design and delivery of scalable AI and data platforms, from petabyte-scale lakehouses to production GenAI solutions, using Python, Spark, Databricks, and cloud services.
Build and deploy ML models (regression, classification, LLMs, time-series) to personalize credit-card marketing campaigns using Python, Spark, and AWS.
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